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A Fuzzy Soft Set-Theoretic New Methodology to Solve Decision-Making Problems

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Electronic Systems and Intelligent Computing

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 860))

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Abstract

A novel approach of perceiving from imperfect multi-observer data is provided in this study. During a parametric sense, the method includes constructing a comparison table for higher cognitive processes from an FSS. The notion of an FSS with Grey relational analysis is backed by a novel method. The new algorithm's evaluation grounds are diverse. The findings demonstrate that the proposed method is effective in addressing choice issues, particularly FSS decision problems.

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Correspondence to Shamshad Husain .

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Husain, S., Tyagi, V.K., Gupta, M.K. (2022). A Fuzzy Soft Set-Theoretic New Methodology to Solve Decision-Making Problems. In: Mallick, P.K., Bhoi, A.K., González-Briones, A., Pattnaik, P.K. (eds) Electronic Systems and Intelligent Computing. Lecture Notes in Electrical Engineering, vol 860. Springer, Singapore. https://doi.org/10.1007/978-981-16-9488-2_64

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  • DOI: https://doi.org/10.1007/978-981-16-9488-2_64

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-9487-5

  • Online ISBN: 978-981-16-9488-2

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